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-microenvironment communication. The project will be in close collaboration with groups in Translational Medicine, breast cancer experts across Genentech, and the Spatial Omics (McGinnis lab) in Pathology
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of biotic heterogeneity in urban environments and the spatial/temporal dynamics of these drivers. This will involve working with pre-existing data collected by the lab, as well as collaborator data and
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
scale analysis of multiplex spatial phenotyping across the tumor microenvironment with the possibility of integration of spatial transcriptomics. At the bench, the postdoc will perform confocal imaging
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes
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send materials to ukarvind@umich.edu with Subject "SIBL Bioinformatics Postdoc". Job Summary The Systems Imaging and Bioinformatics Laboratory (SIBL) in the Department of Computational Medicine and
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. The postdoc will receive dedicated mentoring and training, along with opportunities to develop independent research, present at scientific conferences, and pursue external funding. Qualifications
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ecology. The postdoc would work on a USDA-funded grant examining effects of conservation zones (zones of native prairie or perennial grasses embedded in agricultural lands) on ecosystem services in the US
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analysis pipeline for the resulting videos, and writing manuscripts. Additionally, this postdoc will work closely with a collaborative team of disease ecologists, movement ecologists, and veterinarians
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One full-time postdoc position is available at Dr. June Wha-Rhee and Dr. Yun Rose Li’s laboratory at Beckman Research Institute, City of Hope. The candidate will be jointly supervised by the two
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and assembloid co-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify